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Workflows
7,697
Principles
16,832
Implementations
1,245
Heuristics
909
Environments
Welcome to Leeroopedia
Your ML & Data Knowledge Wiki. Best practices and expert-level knowledge for Machine Learning and Data Engineering, covering 1000+ frameworks and libraries from training to deployment.
Browse implementation patterns, configuration guides, debugging heuristics, and battle-tested defaults for frameworks like vLLM, DeepSpeed, Megatron-LM, FlashAttention, Triton, Unsloth, LangChain, and many more. Every page is structured so both humans and AI agents can find what they need fast.
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|---|---|---|
| Workflows | Step-by-step processes and procedures | Browse All |
| Principles | Core ideas and foundational knowledge | Browse All |
| Implementations | Code-level details and modules | Browse All |
| Heuristics | Best practices and guidelines | Browse All |
| Environments | Setup and configuration guides | Browse All |
Explore Pages
Workflows
- Workflow:DistrictDataLabs Yellowbrick Cluster Analysis
- Workflow:Spotify Luigi Database Ingestion Pipeline
- Workflow:PrefectHQ Prefect Web Scraping Pipeline
- Workflow:Bigscience workshop Petals Prompt Tuning Chatbot
- Workflow:BerriAI Litellm Response Caching
- Workflow:DevExpress Testcafe CI Integration
- Workflow:Iamhankai Forest of Thought FoT Benchmark Evaluation
- Workflow:Tensorflow Serving Kubernetes Deployment
- Workflow:ARISE Initiative Robosuite Gymnasium RL Integration
- Workflow:Microsoft Onnxruntime Distributed Model Training
Principles
- Principle:Spotify Luigi Cloud Data Targets
- Principle:Nautechsystems Nautilus trader Client Factory Registration
- Principle:Huggingface Datatrove Pipeline Type Constants
- Principle:Tensorflow Tfjs Layer Wrapping
- Principle:Sdv dev SDV Demo Data Loading
- Principle:Helicone Helicone Response Usage Extraction
- Principle:Promptfoo Promptfoo Attack Generation
- Principle:Ollama Ollama Model Loading
- Principle:SeldonIO Seldon core Explainer Model Deployment
- Principle:Bigscience workshop Petals Classification Model Loading
Implementations
- Implementation:Ggml org Ggml Cpu s390 quants
- Implementation:Neuml Txtai SBert Vectors
- Implementation:Online ml River Tree Utils
- Implementation:Teamcapybara Capybara Spec Rack Test
- Implementation:Truera Trulens Block Output Decorator
- Implementation:Astronomer Astronomer cosmos Cluster Policy
- Implementation:Langgenius Dify Doc Paths Types
- Implementation:Vllm project Vllm SM100 MLA Device
- Implementation:Microsoft Playwright TraceV4
- Implementation:Tensorflow Tfjs MathBackendCPU
Heuristics
- Heuristic:Avhz RustQuant MC Parallel Path Threshold
- Heuristic:Mage ai Mage ai Batch Size Tuning
- Heuristic:HKUDS AI Trader A Share Lot Size Rule
- Heuristic:Lucidrains X transformers Flash Attention Configuration
- Heuristic:FMInference FlexLLMGen Weight Compression 4bit
- Heuristic:PeterL1n BackgroundMattingV2 Refine Mode Selection
- Heuristic:Langchain ai Langchain Pydantic V2 Configuration Tips
- Heuristic:Marker Inc Korea AutoRAG OpenAI Rate Limit Mitigation
- Heuristic:Run llama Llama index Finetuning Warmup Steps
- Heuristic:Openai Openai python Retry Backoff Strategy
Environments
- Environment:Vllm project Vllm AArch64 CPU
- Environment:Google research Deduplicate text datasets Rust Cargo Build Environment
- Environment:Ggml org Ggml Python Tooling Environment
- Environment:Mlc ai Mlc llm CUDA GPU Environment
- Environment:Unslothai Unsloth Llama Cpp
- Environment:Allenai Open instruct Ray Distributed
- Environment:ARISE Initiative Robosuite GPU Rendering
- Environment:Marker Inc Korea AutoRAG Japanese NLP Dependencies
- Environment:Sgl project Sglang CPU
- Environment:Huggingface Optimum Accelerated Inference Environment